Modified Diff-Retinex Model for Robust Low-Light Image Enhancement
Improving images captured under low light is a common topic in computer vision. Applications range from surveillance, self-driving cars, and photography. However, classical Retinex-based algorithms suffer from over-enhancement, noise amplification, and color distortion. This is because they suppose that the resultant i...